ASQ - Electronics and Communications Division

Pseudo-conjugated prior distribution for parametric ALT model

Abstract: © 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must first be obtained from the IEEE.

Common problems of high reliability computing are, on one hand, the magnitude of total testing time required, particularly in the case of high reliability components and, on the other hand, the number of devices under test. In both cases, the objective is to minimize the costs involved in testing without reducing the quality of the data obtained. One solution is based on accelerated life testing techniques which permit to decrease the testing time. Another solution is to incorporate prior beliefs, engineering experience, or previous data into the testing framework. It is in this spirit that the use of a Bayesian approach can, in many cases, significantly reduce the amount of devices required.
This paper focuses on a method of building the prior distribution using the previously acquired field data information in such a manner that the newly obtained law is a pseudo-conjugated form of the reliability law describing the product under test.

Keywords: RAMS 2011 Proceedings - Accelerated Life Testing - Bayesian - Demonstration Tests

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